Travel Reference
In-Depth Information
6 SHARED VISION
(0.85), and they reported that the shared vision in
their organization was appropriate (0.80). Finally,
they agreed with management on what was impor-
tant for their organization (0.73). The evaluation
of results found that the factor loading of “shared
vision” was 0.6, which is above the recommended
value (Hair, et al., 2004).
Thus, it can be concluded that shared vision
plays a significant role in improving hotel employ-
ees' performance. Shared Vision was found to be
significant to employee performance as a means of
achieving personal and organizational goals and
therefore, it can be suggested that Shared Vision
is a significant dimension contributing to high
employee performance. This is in line with sev-
eral researchers' contention that an organization
should clearly explain to employees the reason for
the organizations existence (Gutiérrez, et al., 2009;
Kivela & Kagi, 2009) (Lahap, O'Mahony & Dal-
rymple, 2013; Pearce & Ensley, 2004; Pearlman &
Chacko, 2012). They added that employees should
also be informed of the reason why they do the job
and the implications of doing the job. Therefore, it
can be suggested that shared vision in this study is
well-understood by hotel employee in this sample.
Moreover, top management knows the importance
of shared vision towards their employee. This
study enriches the body of knowledge towards the
field of service improvement methodology.
The Kaiser-Meyer-Olkin value of 0.79 exceeded the
recommended value of 0.60, and Bartlett's Test of
Sphericity is statistically significant (Hair, Ander-
son, Tatham & Black, 2004). This showed that
there is a high degree of interrelationship among
the questions within the dimension of shared
vision. The unrotated factor solution extracted one
factor with an Eigenvalue greater than one.
According to Table 3, this factor accounted for
63.9 percent of percentage variance. In this test
only one factor was generated from the analysis.
Hence six questions were reduced into one factor.
The pattern loadings, factor structure and factor
interpretation are shown in Table 4. The dimen-
sions were defined by the variables with significant
factor loadings of 0.60 and above. Reliability tests
on each of the factors indicate a Cronbach Alpha
coefficient above 0.88. This means that the 6 ques-
tions can be accepted.
In shared vision respondents reported that there
is a clear vision guiding the strategic goals and mis-
sion in their organization (0.69). They also asserted
that the leadership of the company shares a com-
mon vision of the organization's future with hotel
employees (0.86). Furthermore, different depart-
ments shared the same ambition and vision as other
departments (0.83). It was also revealed that these
hotel employees were enthusiastic about pursuing
the goals and mission of the whole organization
7 CONCLUSION
Table 3. Result of the unrotated factor extraction from
the 6 questions (variables) representing Shared Vision
(SV).
Despite of the success of this study, few limitation
were also faced. Time, money and sample selection
constraint were the main concern in this research.
The duration of 5 months of data collection lim-
its the researcher to get more respondents. The
sample selection was also found to be a barrier to
this research. Therefore, Klang Valley was chosen
in this study. This study was done and acts as a
pilot study to assist towards bigger sample such
as, the Northern and Southern part of Peninsula
Malaysia as well as Sabah and Sarawak. To sum
up, bigger sampling and ample time will be allo-
cated towards future study. Overall, this study had
successfully achieved its main objective that was to
examine the significance of Six Sigma methodol-
ogy for the Malaysian hotel Industry.
Kaiser-Meyer-Olkin Measure of Sampling Adequacy
= 0.79: Bartlett's Test of Sphericity = 1136.664, Signifi-
cance = .00
Table 4. Result of Varimax rotated factor matrix for
Shared Vision (SV).
REFERENCES
Bhote, K.R. & Bhote, A.K. (1991). World class quality:
Using design of experiments to make it happen (2nd
ed.). New York: American Management Association.
Breyfogle III, F.W. (2003). Implementing six sigma:
Smarter solutions using statistical methods . New York:
John Wiley & Sons.
LD: Factor Loading
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